MIT research shows how single-word changes can flip AI text classifier decisions. The testing gap affects content moderation, financial services, and medical AI systems across production environments.

Multi-agent workflows create distributed accountability that challenges existing legal frameworks designed for single AI tools rather than collaborative AI systems with emergent behaviors and shared decision-making.

"This 2023 analysis correctly predicted that AI audit requirements would create compliance theater without meaningful bias prevention, warnings that have proven increasingly relevant as agent technologies emerge."

Anthropic's safeguards architecture shows how legal frameworks become computational systems that process trillions of tokens while preventing harm in real-time.

The Machine Intelligence Research Institute's latest piece makes a blunt point: nobody controls what these systems become. Engineers discover behaviors after the fact rather than designing them upfront.

Agentic AI validates itself in real time, creating audit trails that help product teams build both reliable systems and the transparency needed for legal compliance when AI decisions need explanation.

Product counsel need to become infrastructure assessors, evaluating not just model capabilities but whether entire enterprise ecosystems can handle advanced AI before deployment.

Microsoft just released their Agent Factory framework, and it's forcing a rethink of how we approach AI governance. These aren't the AI tools…